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  • Workflows
    • Overview
      • Overview
      • Validate Features & Designs
      • Align Stakeholders & Launch
  • Get Started
    • MCP Quick Start
    • API Quick Start
  • MCP Server
    • Overview
    • Installation
  • Direct API
    • Overview
    • Authentication
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    • Minds, Snapshots, & Simulations
    • SOC 2, HIPAA, & GDPR
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On this page
  • Why Product Decisions Fail
  • How It Works
  • What You Can Predict
  • Quick Start
  • Implementation
  • Next Steps
WorkflowsProduct Management

Ship Features Users Actually Want

Create digital twins of your users. Predict how they'll respond before building. Ship the right features.
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Validate Features & Designs

Know exactly what users will say before building. Validate features, designs, and decisions with high accuracy.
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Built with

Mind Reasoner

The Paradigm Shift

Stop guessing. Create user minds from real conversations. Predict exactly how they’ll respond to features, designs, and decisions—before you build.

Result: Ship features users want. Avoid costly mistakes. Accelerate product-market fit.

Why Product Decisions Fail

The Problem

You build without knowing:

  • Will users actually use this feature?
  • Which design will they prefer?
  • What objections will they raise?
  • Does this solve their real problem?

You’re guessing. And wasting engineering time on features users don’t want.

The Solution

Build knowing:

  • Exactly what users will say about this feature
  • Which design resonates with them
  • What concerns they’ll raise
  • Whether this solves their real problem

No more guessing. Just shipping the right features.

How It Works

1. Create User Minds → Upload transcripts from user interviews, support calls, or feedback sessions. Training: 5-15 minutes. Result: Digital twins that think like your actual users.

2. Predict Their Response → Ask: “Would you use this feature? Which design do you prefer?” Know how users will respond before building.

3. Ship with Confidence → Build features validated by actual user patterns. Higher adoption, less waste, faster product-market fit.

What You Can Predict

Feature Validation

Know if users will actually use it before building

Predict:

  • Will they use this feature?
  • Does it solve their real problem?
  • What concerns will they raise?
  • Which use cases matter most?

Outcome: Build features users actually want, avoid wasting engineering time

Design Decisions

Test which design resonates before implementing

Predict:

  • Which design will users prefer?
  • What will confuse them?
  • What will they love vs. tolerate?
  • Where will they get stuck?

Outcome: Ship designs users love without endless iterations

Pricing & Packaging

Understand willingness to pay and packaging preferences

Predict:

  • What would they pay for this?
  • Which tier would they choose?
  • What features drive upgrades?
  • What feels like a must-have vs. nice-to-have?

Outcome: Optimize pricing and packaging for YOUR users

Stakeholder Buy-In

Predict executive and internal stakeholder concerns

Predict:

  • What will engineering leadership question?
  • What will sales team need to sell it?
  • Which risks will executives flag?
  • What proof do stakeholders need?

Outcome: Navigate internal approvals and get features shipped

Quick Start

1. Get Access → Set up MCP Server in 5 minutes, no coding required. MCP Quick Start →

2. Create First User Mind → In Claude: "Create a mind for [User Name/Segment] using /path/to/user-interview.vtt" Wait 5-15 minutes for training.

3. Validate and Ship → Ask: "We're considering building [feature description]. Would you use this? What concerns would you have?" Get predictions, validate decisions, ship with confidence.

Implementation

MCP (No Code)
Direct API

Use Mind Reasoner through Claude Code

No coding. Just natural conversation in Claude.

You:

$> Create a user mind for Sarah, enterprise customer,
$using /Documents/interviews/enterprise-user-sarah.vtt

Mind Reasoner:

✓ Created mind: "Sarah - Enterprise User"
✓ Training... (~10 min)

You:

$> We're considering adding bulk export. Would you use this?
>What would make you upgrade to Enterprise tier for it?

Mind Reasoner:

Based on Sarah's usage patterns:
YES, I would use bulk export. Here's why:
1. Current Pain: Manually exporting 20+ reports weekly
   Time cost: 3-4 hours wasted
   This is my #1 frustration
2. Willingness to Pay: Would upgrade to Enterprise
   Would pay $299/mo if bulk export included
   ...
3. Requirements: CSV/Excel export, scheduled automation
This solves my biggest pain point. I'd upgrade immediately.

See All MCP Tools →

Next Steps

Validate Features & Designs

Learn how to validate features and designs before building

Align Stakeholders & Launch

Navigate stakeholder approvals and optimize product decisions

MCP Quick Start

Set up in 5 minutes. No coding required.

API Quick Start

Build user prediction into your product workflow

Questions? Email support@reasoner.com